Deeksha Sinha

18 papers A* 2A 1B 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Scheduling with Uncertain Holding Costs and its Application to Content Moderation.
CoRR
Caner Gocmen, Thodoris Lykouris, Deeksha Sinha, Wentao Weng
2025 J jnl
The Limits to Learning a Diffusion Model.
Manag. Sci.
Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng
2023 J jnl
Fair Notification Optimization: An Auction Approach.
CoRR
Christian Kroer, Deeksha Sinha, Xuan Zhang, Shiwen Cheng, Ziyu Zhou
2022 J jnl
Bandits for Online Calibration: An Application to Content Moderation on Social Media Platforms.
CoRR
Vashist Avadhanula, Omar Abdul Baki, Hamsa Bastani, Osbert Bastani, Caner Gocmen, Daniel Haimovich, Darren Hwang, Dima Karamshuk, Thomas J. Leeper, Jiayuan Ma, Gregory Macnamara, Jake Mullett, Christopher Palow, Sung Park, Varun S. Rajagopal, Kevin Schaeffer, Parikshit Shah, Deeksha Sinha, Nicolás Stier Moses, Peng Xu
2022 J jnl
Optimizing revenue while showing relevant assortments at scale.
Eur. J. Oper. Res.
Theja Tulabandhula, Deeksha Sinha, Saketh Reddy Karra
2021 A conf
Multi-Armed Bandits with Cost Subsidy.
AISTATS
Deeksha Sinha, Karthik Abinav Sankararaman, Abbas Kazerouni, Vashist Avadhanula
2021 A* conf
The Limits to Learning a Diffusion Model.
EC
Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng
2020 J jnl
Multi-Purchase Behavior: Modeling and Optimization.
CoRR
Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar
2020 J jnl
Multi-armed Bandits with Cost Subsidy.
CoRR
Deeksha Sinha, Karthik Abinav Sankararama, Abbas Kazerouni, Vashist Avadhanula
2020 J jnl
Near-Optimal A-B Testing.
Manag. Sci.
Nikhil Bhat, Vivek F. Farias, Ciamac C. Moallemi, Deeksha Sinha
2020 A* conf
Optimizing Offer Sets in Sub-Linear Time.
EC
Vivek F. Farias, Andrew A. Li, Deeksha Sinha
2020 J jnl
Optimizing Offer Sets in Sub-Linear Time.
CoRR
Vivek F. Farias, Andrew A. Li, Deeksha Sinha
2020 J jnl
Optimizing Revenue while showing Relevant Assortments at Scale.
CoRR
Theja Tulabandhula, Deeksha Sinha
2020 — conf
Recommendations under Multi-Product Purchase Behavior.
WWW (Companion Volume)
Theja Tulabandhula, Deeksha Sinha, Prasoon Patidar
2020 J jnl
The Limits to Learning an SIR Process: Granular Forecasting for Covid-19.
CoRR
Jackie Baek, Vivek F. Farias, Andreea Georgescu, Retsef Levi, Tianyi Peng, Deeksha Sinha, Joshua Wilde, Andrew Zheng
2017 J jnl
Optimizing Revenue over Data-driven Assortments.
CoRR
Deeksha Sinha, Theja Tulabandhula
2014 B conf
Load dependent optimal ON-OFF policies in cellular heterogeneous networks.
WiOpt
Deeksha Sinha, Veeraruna Kavitha, Abhay Karandikar
2013 J jnl
nPlug: An Autonomous Peak Load Controller.
IEEE J. Sel. Areas Commun.
Tanuja Ganu, Deva P. Seetharam, Vijay Arya, Jagabondhu Hazra, Deeksha Sinha, Rajesh Kunnath, Liyanage Chandratilake De Silva, Saiful A. Husain, Shivkumar Kalyanaraman